Answer:
a) E(X)=1
b) σ=1
c) P(X>1)=0.368
d) P(2<X<5)=0.128
Step-by-step explanation:
We have X: "the time between two successive arrivals at the drive-up window of a local bank", exponentially distributed with λ = 1.
a) We have to compute the expected time between two successive arrivals.
The expected value for X as it is exponentially distributed is:
[tex]E(X)=\dfrac{1}{\lambda}=\dfrac{1}{1}=1[/tex]
b) We have to compute the standard deviation of X.
The standard deviation is calculated as:
[tex]\sigma=\dfrac{1}{\lambda}=\dfrac{1}{1}=1[/tex]
c) The probability that X is larger than 1 (P(X>1))
We can express the probability as:
[tex]P(X>t)=e^{-\lambda t}\\\\P(X>1)=e^{-\lambda\cdot 1}=e^{-1}=0.368[/tex]
d) The probability that X is between 2 and 5 (P(2<X<5))
[tex]P(X>t)=e^{-\lambda t}\\\\\\P(2<X<5)=P(X>2)-P(X>5)\\\\P(2<X<5)=e^{-\lambda\cdot 2}-e^{-\lambda\cdot 5}=e^{-2}-e^{-5}=0.135-0.007\\\\P(2<X<5)=0.128[/tex]